Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: We are seeking a Senior Staff Software Engineer (IC5 Level) to join our Data Platform Engineering organization. You will be a hands-on technical lead who will lead t he design and delivery of shared, multi-tenant platform services — Postgres, queueing/streaming, and key-value stores — on Kubernetes, and serves as the technical anchor for their availability, resilience, and operating model. What you get to do in this role: You will lead the design and delivery of shared platform services — managed Postgres, queueing/streaming, and key-value/cache — that run on Kubernetes across a large global fleet and that product teams across the company depend on, owning them from design through production operation. You will act as the technical lead on major initiatives within your team, breaking down ambiguous problems — “offer HA Postgres as a service to every cluster,” “make our queueing tier survive a zone loss” — into clear, executable designs with explicit availability, durability, and cost targets. You will define the HA, failover, disaster-recovery, and multi-region architecture for the services you own, and the Kubernetes-native automation (operators, controllers, CRDs, self-service APIs) that provisions, scales, upgrades, and fails them over without human intervention. You will partner with principal and distinguished engineers to align your work with the broader platform architecture and standards, and with product teams to set consumption contracts, tenancy models, and SLOs for shared services. You will identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, and operability — leading failure-mode analysis, game days, and post-incident reviews for stateful systems. You will spend significant time hands-on — designing, coding, and reviewing the core systems your team builds, such as operators, controllers, infrastructure automation, and platform services. You will mentor mid-level and junior engineers and raise the engineering bar through code reviews, design feedback, and pairing — particularly around distributed-systems and data-service design. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering and platform work — whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run. 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience. 8+ years building production software, with solid experience operating distributed systems and running stateful workloads on Kubernetes at scale. A track record of leading the design and delivery of at least one shared, multi-tenant infrastructure service used broadly by other teams — a relational database service (Postgres or similar), a message queue or streaming platform (Kafka, NATS, RabbitMQ, or similar), or a key-value/cache service (Redis/Valkey, etcd, or similar) — including its HA, failover, and operating model. Deep understanding of high availability and failure handling: replication topologies, leader election, quorum and consensus, split-brain avoidance, backup/restore and point-in-time recovery, and designing to explicit RPO/RTO and durability targets. Strong system design skills — you can reason rigorously about consistency models, partitioning and rebalancing, capacity planning, tenant isolation, and noisy-neighbor mitigation, and communicate the trade-offs clearly to engineers and stakeholders. Hands-on experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, storage, and IAM primitives. Strong working knowledge of containers and Kubernetes (including stateful primitives: StatefulSets, CSI/persistent storage, PDBs, topology spread), CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or strong systems-language skills with a willingness to work primarily in Go). It also helps if you have: Experience building or extending Kubernetes operators that manage stateful systems (e.g., CloudNativePG, Zalando/Crunchy Postgres operators, Strimzi, Redis/Valkey operators), and opinions on when to adopt versus build. Deep expertise in one of the target systems: Postgres internals (WAL, streaming/logical replication, vacuum, connection pooling with PgBouncer/PgCat, major-version upgrades); Kafka/NATS (partitioning, ISR/replication, exactly-once semantics, consumer scaling); or Redis/Valkey (cluster mode, persistence, eviction, hot-key handling). Experience running data services across multiple regions or clusters — cross-region replication, failover orchestration, and DR testing. Experience with zero-downtime upgrades, schema/data migrations, and fleet-wide rollouts of stateful services. Experience with observability and SLOs for stateful systems — replication lag, saturation, tail latency, error budgets — and with capacity and cost management for shared infrastructure. Experience designing multi-tenancy: quotas, isolation, chargeback/showback, and self-service provisioning APIs or CRDs. Experience with container networking (CNI) and/or service mesh, and with workload identity, mTLS, and secrets management as applied to data services. Experience with managed Kubernetes (EKS/AKS/GKE), managed data services (RDS/Aurora, Cloud SQL, MSK, ElastiCache), and infrastructure-as-code tools such as Terraform or Crossplane. For positions in this location, we offer a base pay of $149,800 - $262,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

We are the AI Control Tower Team and we are looking for a full stack engineer to help join a dynamic environment. We are responsible for the AI Control Tower application and so this individual will support us by building/upgrading applications as well as on the platform. Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Partner with developers and product owners to understand requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Help design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs. Help design and implement new products and features while also enhancing the existing product suite To be successful in this role: Passionate about learning and applying AI to solve Developer needs Passion for writing code in Java and leveraging the web as a platform, with a strong focus on reusability and componentization Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Working knowledge and ability to use tools to assist with daily tasks (IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 2-5 years proficiency in Java, Javascript Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. Basic knowledge of relational databases and SQL Familiarity with RESTful APIs and modern web services Understanding of AI/ML concepts; hands-on experience with LLMs or AI APIs a plus This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Experience In using AI Productivity tools such as Claude, Windsurf, Cursor, etc is a plus or nice to have. For positions in this location, we offer a base pay of $125,700 - $194,800 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

The engineering organization is a dynamic group of builders, thinkers, and problem-solvers focused on delivering scalable, AI-powered software products that improve how IT organizations function and deliver value. We value clean architecture, intuitive experiences, operational excellence, and a culture of continuous improvement. Every engineer plays an important role in shaping the quality, reliability, and long-term success of our products. About the Team You'll join a small, founding engineering team building a new product from the ground up with the mandate and latitude to make foundational decisions on architecture, stack, and engineering practices. This is a rare setup: startup-level speed, ownership, and blank-canvas building, backed by the distribution, resources, and scale of ServiceNow. The team is still small and early-stage today, which means the Director hired into this role will have outsized influence over how the engineering org is shaped from here — team structure, technical standards, and culture included. Responsibilities include: Collaborate with stakeholders across Product, Design, Security, Operations, Sales, and Customer Success — aligning on roadmap and release readiness, meeting security and compliance requirements, and feeding field and customer signal back into engineering priorities. Own technical strategy and delivery for your teams. Set architectural direction, hold the bar on quality and reliability, and stay close enough to the work to validate hypotheses through evidence, not theory. Hire, coach, and develop engineers, tech leads, and managers. Build inclusive, high-performing teams with clear career paths and durable ownership. Lead the evolution of current solutions toward AI-native capabilities, identifying where agentic patterns, data utilization, or autonomous workflows can unlock customer value, and translate those recommendations into staffed, executable work. Establish architecture patterns, engineering standards, and operating rhythms specific to your problem domain. Document tradeoffs, rationale, and implementation guidance to help teams move faster and make consistent decisions. Collaborate across the broader org to share learnings, validate approaches, and accelerate adoption of patterns that work. To be successful in this role, you have: 15+ years of related engineering experience, including 7+ years leading and managing engineering teams for a product at scale. A significant portion of the experience should be in startups building 0-1 products, taking them to market, and rapidly scaling users using PLG motions and experiments. Strong experience building and operating large-scale distributed systems, enterprise platforms, workflow systems, data-intensive products, integration frameworks, or cloud-scale infrastructure. Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness. Proven ability to define technical direction, influence architecture across teams, and translate ambiguous product strategy into executable engineering plans. Demonstrated success in building a high performance culture within in a team of senior engineers without compromising wellbeing. Ability to lead through formal authority and technical credibility alike, building alignment across peer engineering, Product, Design, Security, Operations, Sales, and Customer Success organizations. Strong judgment in balancing long-term architecture with pragmatic execution, customer impact, engineering velocity, and business priorities. Strong experience with AI-powered products, AI-assisted workflows, and the extensive use of AI in the SDLC. Why Join Us Join as a founding Director-level engineering leader on a net-new product, at a stage where product, team composition, and engineering culture are still being actively defined. Operate with significant autonomy over technical direction and team-building decisions. Build with modern, cloud-native tooling and patterns, unconstrained by existing platform conventions. Work on a product with real urgency and a near-term launch target, where your decisions have immediate, visible impact rather than being one layer removed from outcomes. Get the best of both worlds: the speed and ownership of an early-stage build, with the backing, resources, and distribution of ServiceNow. Partner directly with a small, senior technical team to define how AI agents, automation, and human workflows come together with the freedom to make foundational calls that will shape the product for years. For positions in this location, we offer a base pay of $100,000 - $200,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

AI Solution Consultant Armis is seeking talented, motivated AI builders to join our Strategic Initiatives team as part of a new AI Center of Excellence. Reporting to the SVP of Strategic Initiatives, this team designs and ships AI-native solutions — agents, assistants, and reusable skills — that advance Armis's security mission and multiply the impact of teams across the company. This is a builder role. We're looking for engineers fluent in modern AI application development — agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation — not machine learning engineers. You will be expected to train foundation models / frontier models . You will compose capable, production-grade AI systems on top of frontier models, get them into people's hands, and bring the rigor to prove they actually work. What you'll do Design, build, and bring to production ready: models, AI agents, assistants, and reusable skills that solve real problems for Armis and its customers. Turn ideas into working MVPs fast, then partner with engineering to harden them into reliable, production-ready systems. Build evaluation into everything you ship — define what "good" means for each solution, measure it, and hold the bar. Due diligence through rigorous evals is non-negotiable, not an afterthought. Compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls. Select and integrate the right frameworks, tools, and models for each job, and turn what works into reusable patterns and best practices for the COE. Also be a part of the COE Consult team to help across the organization. Document what you build and how it should be used, operated, and evaluated. Qualifications An AI Expert in Multi-agentic solutions. Demonstrated experience building real AI solutions — agents, assistants, copilots, or skills — that shipped and got used, not just prototyped. Deep, hands-on familiarity with modern agent frameworks and developer tooling (agent SDKs such as the Top 3 providers SDKs (Claude, OpenA and Google), thorough understanding and use of SKILL.md skills standard, plus the judgment to know which to reach for when. Strong evaluation discipline: building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment. Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization (Docker, Kubernetes). Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience. Preferred Experience in security, or building AI for security use cases For positions in this location, we offer a base pay of $221,200 - $ 387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Have run NPS at a company where the number was reported externally or to a board, with the scrutiny that brings Know the difference between a journey map that generated consensus and one that generated decisions Have worked across both product and post-sale organizations and can speak either language Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

The GAIL (Get AI Live) program deploys engineers directly into strategic customer engagements to drive real AI adoption and measurable value realization. The GAIL Core Team is the permanent engine behind that program — the stable foundation of institutional knowledge, tooling ownership, and senior expertise that makes every engagement, and every rotating engineer, better than the last. As a Staff Software Engineer on the GAIL Core Team, you will own the hardest engagements, set the quality standard for the entire practice, and build the infrastructure that scales it. This is hands-on, customer-facing work — not theoretical process — and it compounds in impact with every engagement you lead, and every engineer you bring up behind you. What you get to do in this role: Lead the most complex GAIL and Go-Live Support engagements — large-scale enterprise deployments, escalations, and high-stakes go-lives where depth and experience matter most. Own and evolve the GAIL playbook — keeping deployment standards, required gates, and prescribed sequences current, accurate, and actionable across the program. Build, maintain, and push shared GAIL tooling across all engagements — reducing reinvention and raising the floor for every engineer in the rotation. Mentor and ramp incoming GAIL engineers through structured onboarding, shadowing, and coaching on first customer interactions. Capture patterns from complex deployments and feed them into the team's knowledge base — turning hard-won lessons into reusable assets that proactively uplift the whole team. Drive quality standards across the GAIL practice — defining what great looks like and holding the line on it. Partner with product and engineering to surface field signal from customer engagements and close the feedback loop. 6+ years of software engineering experience, ideally with a mix of enterprise product work and hands-on customer or field delivery. Strong coding ability in JavaScript and one or more additional languages (Java, Python, or equivalent), with a track record of building and shipping production-quality solutions. Experience deploying or integrating AI features and GenAI models — including Now Assist, AI Agents, or equivalent platforms — in real customer environments. Familiarity with prompt engineering and the judgment to tune non-deterministic outputs for reliability and production-grade clarity. A bias for standards over shortcuts — you know when a playbook gate applies, when it doesn't, and you own that call with clear reasoning. A builder's instinct for shared tooling and reusable patterns — you don't reinvent the wheel when you can build something the whole program can use. The ability to mentor effectively — you raise the level of the engineers around you through direct coaching, not just example. Strong communication skills across technical and non-technical audiences, including customer-facing executive stakeholders. For positions in this location, we offer a base pay of $166,500 - $291,400 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

The GAIL (Get AI Live) program deploys engineers directly into strategic customer engagements to drive real AI adoption and measurable value realization. The GAIL Core Team is the permanent engine behind that program — the stable foundation of institutional knowledge, tooling ownership, and senior expertise that makes every engagement, and every rotating engineer, better than the last. As a Staff Software Engineer on the GAIL Core Team, you will own the hardest engagements, set the quality standard for the entire practice, and build the infrastructure that scales it. This is hands-on, customer-facing work — not theoretical process — and it compounds in impact with every engagement you lead, and every engineer you bring up behind you. What you get to do in this role: Lead the most complex GAIL and Go-Live Support engagements — large-scale enterprise deployments, escalations, and high-stakes go-lives where depth and experience matter most. Own and evolve the GAIL playbook — keeping deployment standards, required gates, and prescribed sequences current, accurate, and actionable across the program. Build, maintain, and push shared GAIL tooling across all engagements — reducing reinvention and raising the floor for every engineer in the rotation. Mentor and ramp incoming GAIL engineers through structured onboarding, shadowing, and coaching on first customer interactions. Capture patterns from complex deployments and feed them into the team's knowledge base — turning hard-won lessons into reusable assets that proactively uplift the whole team. Drive quality standards across the GAIL practice — defining what great looks like and holding the line on it. Partner with product and engineering to surface field signal from customer engagements and close the feedback loop. 6+ years of software engineering experience, ideally with a mix of enterprise product work and hands-on customer or field delivery. Strong coding ability in JavaScript and one or more additional languages (Java, Python, or equivalent), with a track record of building and shipping production-quality solutions. Experience deploying or integrating AI features and GenAI models — including Now Assist, AI Agents, or equivalent platforms — in real customer environments. Familiarity with prompt engineering and the judgment to tune non-deterministic outputs for reliability and production-grade clarity. A bias for standards over shortcuts — you know when a playbook gate applies, when it doesn't, and you own that call with clear reasoning. A builder's instinct for shared tooling and reusable patterns — you don't reinvent the wheel when you can build something the whole program can use. The ability to mentor effectively — you raise the level of the engineers around you through direct coaching, not just example. Strong communication skills across technical and non-technical audiences, including customer-facing executive stakeholders. For positions in this location, we offer a base pay of $149,800 - $262,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

ServiceNow Impact is transforming how organisations accelerate value and achieve digital transformation success. This isn’t just another product - it’s a strategic platform that combines AI, analytics, and human expertise to deliver measurable business outcomes. By joining the Impact team, candidates will: Shape the Future of Digital Transformation Build solutions that empower global enterprises to make smarter, data-driven decisions and realise value faster. Innovate with Cutting-Edge Technology Leverage AI, machine learning, and automation to deliver proactive insights, preventative controls, and personalised recommendations. Deliver Real-World Impact Help customers optimise platform health, track KPIs, and achieve their business goals through prescriptive guidance and premium support. Collaborate with Experts Work alongside a passionate team of engineers, designers, and strategists who are redefining customer success. Create Meaningful Experiences Design visually compelling, intuitive digital journeys that make complex processes simple and impactful. Joining the Impact team means building technology that matters - technology that accelerates ROI for customers and sets new standards for enterprise value delivery. What you get to do in this role: Leverage ServiceNow AI Capabilities to construct AI-powered, scalable, and reusable software solutions that drive measurable impact for users and business processes. Drive innovation by applying prompt engineering techniques and designing scalable architectures to support AI-powered solutions across the organisation. Collaborate with product owners to translate business and user needs into intelligent, well-architected features, owning your work from design through implementation, automated testing, and delivery. Develop extensible and user-friendly software that enables customers to customize and leverage AI-driven functionality to solve real-world problems. Build intuitive, performant JavaScript UI components (e.g. LitJs, DaisyUI, TailwindCSS) to ensure flexibility for customer-specific needs. Champion our quality-first mindset by integrating automated testing frameworks (e.g., Playwright) into CI/CD workflows to ensure consistent, high-quality releases. Participate in design and code reviews, championing best practices in performance, maintainability, and testability. Contribute to the design and enhancement of AI-enabled products and features, while improving the reliability, observability, and production readiness of the existing product suite. Troubleshoot and optimize system performance across the stack, ensuring scalability and responsiveness. Serve as a mentor for colleagues, sharing best practices for software craftsmanship, responsible AI integration, and continuous improvement. To be successful in this role you have: Experience leveraging AI to improve workflows, decision-making, or product functionality — including integrating AI APIs, automating processes, or analyzing AI-driven insights. Day-to-day work involves JavaScript, but strong foundations in languages like Java or Python are equally valued. Must have 4+ years of enterprise-level software engineering experience. Solid understanding of data structures, algorithms, object-oriented design, design patterns, and performance optimization. Familiarity with automated testing and CI/CD pipelines, and a commitment to engineering excellence and reliability. Analytical mindset with the ability to design impactful AI solutions that solve complex problems. Experience with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems. A passion for collaboration, craftsmanship, and continuous learning, fostering a culture of quality and innovation. Why Join Us: Build and deliver high-impact software that powers digital experiences for millions of users. Collaborate in a culture that values craftsmanship, quality, and innovation. Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability. Be part of a team that encourages creativity, continuous learning, and shared success Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Position Location: This is a Flexible (Hybrid) position based in Santa Clara, CA. Flexible positions require 2 days per week in our Santa Clara office location. Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. As a Staff Software Engineer, you will independently lead the design, development, and delivery of complex, high-impact AI-native and cloud-native systems. The IC4 engineer takes ownership of critical components or features, sets technical direction within their domain, and serves as a technical resource to peers and junior engineers. They combine deep software engineering fundamentals with hands-on expertise in AI/ML integration, cloud architecture, and production systems. This role requires the ability to balance technical depth with organizational impact, working across teams to solve ambiguous problems and drive platform improvements. What you get to do in this role: Responsibility Area: Technical Leadership & Architecture • Lead the design and architecture of complex, production-critical AI-native systems, including LLM integrations, agentic workflows, retrieval pipelines, and inference services • Own end-to-end delivery of medium-to-large features or systems, including specification, design, implementation, testing, deployment, and production monitoring • Make informed architectural and technical trade-off decisions between latency, cost, scalability, reliability, and model quality • Establish evaluation frameworks, testing strategies, and production monitoring for AI-driven features; drive adoption of eval-driven development practices • Design and optimize high-performance data pipelines, embedding systems, and vector stores handling millions of rows and complex retrieval scenarios • Champion security best practices, including prompt-injection defense, data privacy, PII handling, responsible AI guardrails, and compliance with regulatory requirements • Participate in architectural reviews across teams and contribute to platform-level technical decisions • Stay current with emerging AI/ML frameworks, services, and techniques; evaluate and recommend adoption where applicable Responsibility Area: Mentorship & Technical Influence • Mentor junior and mid-level engineers (IC2/IC3) through pair programming, design reviews, architecture discussions, and hands-on coaching • Conduct thorough code reviews, including evaluation of prompts, agent logic, retrieval strategies, and AI/model behavior validation • Identify technical debt and improvement opportunities; advocate for and lead initiatives to address them • Share knowledge through documentation, brown-bag sessions, and architectural guidance • Contribute to hiring and interview processes; provide technical assessment and feedback on engineering candidates • Model best practices in software craftsmanship, testing discipline, and debugging methodology • Support onboarding of new team members and ensure knowledge transfer across projects Responsibility Area: Cross-Functional Collaboration & Communication • Work closely with product management, domain specialists, and other engineering teams to define requirements and technical specifications • Translate complex technical concepts and AI trade-offs for non-technical stakeholders (product, leadership, customers) • Lead root cause analysis for customer-reported issues, including those involving model behavior, hallucinations, retrieval quality, and distributed system complexity • Participate in design reviews, technical planning sessions, and retrospectives; contribute perspectives on technical feasibility and risk • Communicate clearly about design decisions, implementation challenges, AI limitations, and production incidents • Build and maintain relationships with adjacent teams and external partners where applicable • Proactively identify opportunities to improve development processes, tooling, and team efficiency Responsibility Area: Software Development Excellence • Develop robust, maintainable, and well-tested AI-native software using Python, Java, and JavaScript as appropriate • Build comprehensive unit tests, integration tests, and AI evaluation harnesses (accuracy, regression, hallucination detection) • Troubleshoot complex issues in distributed systems, probabilistic models, and cloud infrastructure; isolate root causes efficiently • Implement secure coding practices and responsible AI guardrails throughout the development lifecycle • Manage deployment, monitoring, and iteration of features in production; respond to performance issues and model drift • Work with cloud services (AWS/GCP/Azure), managed AI services (Bedrock, Vertex AI, Azure OpenAI), Kubernetes, and CI/CD pipelines • Contribute to code and architecture standards; ensure adherence to established best practices Responsibility Area: ServiceNow Platform Development • Design and develop custom applications, extensions, and integrations on the ServiceNow platform • Develop workflows, business rules, and automation using ServiceNow scripting (JavaScript, GlideScript, REST APIs) • Build data models, forms, and dashboards for ServiceNow applications; optimize database queries for performance • Integrate third-party AI/ML services and custom APIs with ServiceNow platform services • Contribute to and maintain ServiceNow plugin and app architecture; follow ServiceNow best practices and coding standards • Participate in ServiceNow upgrades and configuration management; ensure compatibility with platform updates • Mentor junior engineers on ServiceNow platform capabilities and development patterns Responsibility Area: Customer Support & Product Excellence • Participate in customer issue triage and root cause analysis for production ServiceNow application issues • Work closely with customer success and support teams to understand and resolve complex technical issues • Provide technical guidance to customers on application usage, configuration, and troubleshooting • Identify patterns in customer issues and drive improvements to prevent recurrence • Contribute to customer documentation and internal knowledge bases • Support customer escalations; provide timely resolutions to critical issues affecting customer operations • Gather customer feedback and communicate product improvement opportunities back to product management To be successful in this role you have: 8+ years of software development experience with a Bachelor's degree; OR 6+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. Practical software development experience, with 5+ years working with modern cloud-native and AI-native systems 3+ years of hands-on experience with LLM prompt engineering, agent design, and retrieval systems (RAG, semantic search, knowledge bases) 3+ years of demonstrated experience integrating third-party AI/ML services and platform APIs (OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, etc.) 2+ years of hands-on experience developing applications and extensions on the ServiceNow platform Strong proficiency in JavaScript/GlideScript, Python, and Java; familiarity with ServiceNow scripting patterns and APIs Solid understanding of ServiceNow data model, form/workflow design, and business process automation Solid understanding of microservices architecture, REST/streaming APIs, and modern backend frameworks (Spring Boot, FastAPI, etc.) Experience designing and optimizing high-performance data pipelines, embedding systems, and vector stores at scale Demonstrated expertise in LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel) and vector databases (Pinecone, Weaviate, pgvector, etc.) Experience with cloud computing platforms and managed AI services (AWS, GCP, Azure); hands-on experience with infrastructure-as-code Proficiency with Kubernetes, containerization, CI/CD pipelines, and automated testing frameworks Experience developing and debugging evaluation harnesses, benchmarks, and metrics for AI/ML features Proven ability to troubleshoot and isolate root causes in complex, distributed, and probabilistic systems Strong communication skills; ability to explain technical concepts to both technical and non-technical audiences; customer-facing experience a plus Experience with Agile and Scrum development methodologies; comfort with iterative development and continuous improvement Demonstrated ability to engage with customers, understand their needs, and support issue resolution Track record of taking ownership of significant technical initiatives and delivering them successfully Demonstrated mentorship of junior engineers or technical leadership in previous roles For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.